The HAICoGA framework integrates human expertise with AI capabilities to improve the accuracy and efficiency of genome annotation, addressing limitations of purely automated approaches.

• Combines automated processing power with expert manual curation
• Leverages domain knowledge to validate and refine AI-generated predictions
• Creates a feedback loop that continuously improves annotation quality
• Offers a scalable approach to handle large-scale genomic data

This research significantly advances biological understanding by creating more accurate genome annotations, which are fundamental to identifying gene functions and supporting discoveries in genomics, evolutionary biology, and precision medicine.

A Conceptual Framework for Human-AI Collaborative Genome Annotation